Particle swarm optimization in constrained maximum likelihood estimation a case study. - Elvis Han Cui; Dongyuan Song; Weng Kee Wong (CoRR, 2021)

Dual Path Structural Contrastive Embeddings for Learning Novel Objects. - Bingbin Li; Elvis Han Cui; Yanan Li 002; Donghui Wang; Weng Kee Wong (CoRR, 2021)

Single-cell generalized trend model (scGTM): a flexible and interpretable model of gene expression trend along cell pseudotime. - Elvis Han Cui; Dongyuan Song; Weng Kee Wong; Jingyi Jessica Li (Bioinform., 2022)

A Roadmap to Asymptotic Properties with Applications to COVID-19 Data. - Elvis Han Cui (CoRR, 2022)

Trajectory-aware Principal Manifold Framework for Data Augmentation and Image Generation. - Elvis Han Cui; Bingbin Li; Yanan Li 002; Weng Kee Wong; Donghui Wang (CoRR, 2023)

A Metric-based Principal Curve Approach for Learning One-dimensional Manifold. - Elvis Han Cui; Sisi Shao (CoRR, 2024)

A Tutorial on Brownian Motion for Biostatisticians. - Elvis Han Cui (CoRR, 2024)

What is Metaheuristics? A Primer for the Epidemiologists. - Elvis Han Cui; Haowen Xu; Weng Kee Wong (CoRR, 2024)

Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents. - Elvis Han Cui; Zizhao Zhang; Weng Kee Wong (Stat. Comput., 2024)

A Semiparametric Bayesian Method for Instrumental Variable Analysis with Partly Interval-Censored Time-to-Event Outcome. - Elvis Han Cui; Xuyang Lu; Jin Zhou; Hua Zhou; Gang Li (CoRR, 2025)

DSS-Prompt: Dynamic-Static Synergistic Prompting for Few-Shot Class-Incremental Learning. - Linpu He; Yanan Li; Bingze Li; Elvis Han Cui; Donghui Wang (CoRR, 2025)